In this episode I'm joined by Laura Leal-Taixé, Professor at the Technical University of Munich where she leads the Dynamic Vision and Learning Group, and 2017 recipient of prestigious Sofja Kovalevskaja Award.
In our conversation, we discuss several of her recent projects including work on image-based localization techniques that fuse traditional model-based computer vision approaches with a data-driven approach based on deep learning. We also discuss her paper on one-shot video object segmentation and the broader vision for her research, which aims to create tools for allowing individuals to better navigate cities using systems constructed from visual data.
The show notes for this page can be found at twimlai.com/talk/168.
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AI’s Legal and Ethical Implications with Sandra Wachter - #521
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Generating SQL Database Queries from Natural Language with Yanshuai Cao - #519
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Deep Reinforcement Learning for Game Testing at EA with Konrad Tollmar - #517
Exploring AI 2041 with Kai-Fu Lee - #516
Advancing Robotic Brains and Bodies with Daniela Rus - #515
Neural Synthesis of Binaural Speech From Mono Audio with Alexander Richard - #514
Using Brain Imaging to Improve Neural Networks with Alona Fyshe - #513
Adaptivity in Machine Learning with Samory Kpotufe - #512
A Social Scientist’s Perspective on AI with Eric Rice - #511
Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510
Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509
Spatiotemporal Data Analysis with Rose Yu - #508
Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507
Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506
Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505
Fairness and Robustness in Federated Learning with Virginia Smith -#504
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